The recently released ‘calendar map’, a joint effort of Stanford University data stewardship and IR&DS, illustrates relationships between annual calendars and other time periods at Stanford, including the fiscal year (9/1-8/31), academic year (9/23-8/22, for AY2013-14), and GFS aid year (10/1-9/30).

A detailed set of naming standards for data elements in BICC-sponsored reporting projects has been approved by the data stewardship steering committee (SUDS-SC) and the BICC steering committee.

These standards support the use of official names that serve as unambiguous identifiers of specific entities and data elements. Official names are intended for broad audiences who may not be familiar with each element, and for contexts where precise identification and definition of elements is critical. For users who aren’t already familiar with an element, the official name should be informative about its nature.

The naming standards include both structural principles (eg, names should include standard identifiers of the element’s entity, attribute, and data class) and controlled vocabularies (eg, restricted sets of defined class words, approved abbreviations). Approved terms in the SUDS data dictionary should be fully compliant with these standards, and the use of reporting aliases should follow standard principles around usage and documentation.

The SUDS-SPO group (Stanford University Data Stewardship – Sponsored Projects) has released a graphical overview of relationships among major entities in sponsored projects, including sponsored proposals, sponsored agreements, sponsored awards, and Oracle awards.

Stanford Human Resources (HR) has approved the creation of a project independent data stewardship team to provide a renewed focus on the effective management of critical HR institutional data assets. In addition to the stewardship team, the Policy and Process Committee has accepted the responsibility for the executive aspects of data governance in the HR subject area. Further details can be found in linked presentation: Project Independent Human Resources Data Stewardship